Author

Aziz Guergachi

Observed names: A Guergachi, A. A. Guergachi, A. Aziz Guergachi, A. Guergachi, A.A. Guergachi, Aziz A. Guergachi, Guergachi Aziz, Guergachi, A., Guergachi, Aziz

Institutions: York University, Toronto Metropolitan University

Observed institutions: University of Ottawa, University of Toronto, York University, University of Victoria, Toronto Metropolitan University, Fields Institute for Research in Mathematical Sciences

ORCID: 0000-0001-9785-9097

Observed ORCID: 0000-0001-9785-9097

OpenAlex ID: A5055751982

Predictive models for diabetes mellitus using machine learning techniques

2019 · Hang Lai, Huaxiong Huang, et al. · BMC Endocrine Disorders · 294

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Performance Analysis of Data Mining Classification Techniques to Predict Diabetes

2016 · Sajida Perveen, Muhammad Shahbaz, et al. · Procedia Computer Science · 290

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Classification of Alzheimer’s Disease using Machine Learning Techniques

2019 · Muhammad Shahbaz, Shahzad Ali, et al. · International Conference on Data Science, Technology and Applications (DATA) · 125

Applications of association rule mining in health informatics: a survey

2016 · Wasif Altaf, Muhammad Shahbaz, et al. · Artificial Intelligence Review · 111

Metabolic Syndrome and Development of Diabetes Mellitus: Predictive Modeling Based on Machine Learning Techniques

2018 · Sajida Perveen, Muhammad Shahbaz, et al. · IEEE Access · 87

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A Systematic Machine Learning Based Approach for the Diagnosis of Non-Alcoholic Fatty Liver Disease Risk and Progression

2018 · Sajida Perveen, Muhammad Shahbaz, et al. · Scientific Reports · 85

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Using the learning curve to maximize IT productivity: A decision analysis model for timing software upgrades

2006 · Ojelanki Ngwenyama, Aziz Guergachi, et al. · International Journal of Production Economics · 70

Context Based Positive and Negative Spatio-Temporal Association Rule Mining

2012 · Muhammad Shaheen, Muhammad Shahbaz, et al. · Knowledge-Based Systems · 62

Handling Irregularly Sampled Longitudinal Data and Prognostic Modeling of Diabetes Using Machine Learning Technique

2020 · Sajida Perveen, Muhammad Shahbaz, et al. · IEEE Access · 54

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Patient-specific seizure detection in long-term EEG using wavelet decomposition

2018 · Muhammad Kaleem, Aziz Guergachi, et al. · Biomedical Signal Processing and Control · 52

Prognostic Modeling and Prevention of Diabetes Using Machine Learning Technique

2019 · Sajida Perveen, Muhammad Shahbaz, et al. · Scientific Reports · 50

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Negative and Positive Association Rules Mining from Text Using Frequent and Infrequent Itemsets

2014 · Sajid Mahmood, Muhammad Shahbaz, et al. · The Scientific World JOURNAL · 49

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Pathological speech signal analysis and classification using empirical mode decomposition

2013 · Muhammad Kaleem, Behnaz Ghoraani, et al. · Medical & Biological Engineering & Computing · 42

Data mining applications in hydrocarbon exploration

2010 · Muhammad Shaheen, Muhammad Shahbaz, et al. · Artificial Intelligence Review · 39

Patient-specific seizure detection in long-term EEG using signal-derived empirical mode decomposition (EMD)-based dictionary approach

2018 · Muhammad Kaleem, Dharmendra Gurve, et al. · Journal of Neural Engineering · 37

Mining sustainability indicators to classify hydrocarbon development

2011 · Muhammad Shaheen, Muhammad Shahbaz, et al. · Knowledge-Based Systems · 35

EEG seizure detection and epilepsy diagnosis using a novel variation of Empirical Mode Decomposition

2013 · M. Kaleem, A. Guergachi, et al. · 32

Evaluating the Performance of the Framingham Diabetes Risk Scoring Model in Canadian Electronic Medical Records

2015 · Morteza Mashayekhi, Franklyn Prescod, et al. · Canadian Journal of Diabetes · 31

Application of Empirical Mode Decomposition and Teager energy operator to EEG signals for mental task classification

2010 · M F Kaleem, L Sugavaneswaran, et al. · Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society · 27

Text Categorization Approach for Secure Design Pattern Selection Using Software Requirement Specification

2018 · Ishfaq Ali, Muhammad Asif, et al. · IEEE Access · 23

A novel method to derive personalized minimum viable recommendations for type 2 diabetes prevention based on counterfactual explanations

2022 · Marta Lenatti, Alberto Carlevaro, et al. · PLoS ONE · 22

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A Hybrid Approach for Modeling Type 2 Diabetes Mellitus Progression

2020 · Sajida Perveen, Muhammad Shahbaz, et al. · Frontiers in Genetics · 22

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Review of cognitive behavioural therapy mobile apps using a reference architecture embedded in the patient-provider relationship

2018 · Alice Lan, Alexandra Lee, et al. · BioMedical Engineering OnLine · 20

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Artificial intelligence with temporal features outperforms machine learning in predicting diabetes